Model comparison
GPT-5.5 Pro vs Llama 3-70B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 28.8 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Llama 3-70B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 4.3% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Llama 3-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 64.3 | 28.8 |
| Released | 2026-04-23 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 31 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Llama 3-70B: 35.8 (#218)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| BigCodeBench Instruct | — | 43.6% |
| LMArena Coding | — | 1206 |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, Llama 3-70B: 21.1 (#139)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Llama 3-70B: 18.0 (#288)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| DTBench | 96% | 54.2% |
| Epoch Capabilities Index | 162.07 | 122.93 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 35.1% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1195 |
| LMCA | 53.9% | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Llama 3-70B: 12.8 (#305)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 4.3% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| LMArena Math | — | 1218 |
| MATH Level 5 | — | 22.6% |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Llama 3-70B: 20.8 (#277)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 93.9% | 40.6% |
| LMArena Expert | — | 1149 |
| MMLU | — | 79.3% |
Multilingual Not comparable
GPT-5.5 Pro: —, Llama 3-70B: 33.6 (#251)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1114 |
| LMArena French | — | 1232 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
| LMArena Russian | — | 1159 |
| LMArena Spanish | — | 1241 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Llama 3-70B: 62.5 (#238)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | — | 1194 |
Long Context Not comparable
GPT-5.5 Pro: —, Llama 3-70B: 35.6 (#240)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | — | 1174 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Llama 3-70B: 42.8 (#231)
| Benchmark | GPT-5.5 Pro | Llama 3-70B |
|---|---|---|
| LMArena Text | — | 1221 |
| LMArena Creative Writing | — | 1210 |
| LMArena Multi-Turn | — | 1223 |
Frequently asked questions
Is GPT-5.5 Pro better than Llama 3-70B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 28.8 on the Noometry Index.
How many benchmarks do GPT-5.5 Pro and Llama 3-70B share?
4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Llama 3-70B has 31.